Thanks for reply! I could compile CinGG with cuda, I used debian's
package nvidia-cuda-sdk to compile ffmpeg and CinGG too, but cuda
samples is needed too (basically, helper_cuda.h and few more). Debian
use /usr/lib/cuda for libs and /usr/bin for nvcc, so I must to create a
symbolic to /usr/lib/cuda/bin/nvcc (export variable path was not
sufficient, compilation procces search nvcc un CUDA_PATH/bin/nvcc)
that's all.
My original question was: Can I pass some imput parameters to ffmpeg in
render process? And I ask this again. Why? Becase ffmpeg -hwaccel cuvid
can enconder x264 at 13,7x and without this parameter, just 2.5x. And at
the moment, x264 is sufficient for me.
Thanks a lot! Sincerelly.
Sergio
El 2020-04-10 01:21, Phyllis Smith escribió:
> GG writes:
> There are 3 classes of hw accel in cinelerra via ffmpeg. vaapi, vdpau, and
> cuda. The generic hw interface of ffmpeg is use to select hw decoding using
> the selected preference in the settings->preferences->performance->use hw
> device popup menu. The decode_activate operation attempts to decode the
> first hw frame, and if the initialization fails then the sw decoder is used
> as a fallback. The normal 3rd party build will configure and build a current
> version of ffmpeg with a few patches that provide improved operation. I
> would recommend using it. The standard cmdline versions of ffmpeg and
> ffprobe are built into the thirdparty build directory for ffmpeg with the
> normal static library builds.
>
> To use the hw for transcodes is not exactly straight forward from the command
> line. For example, vdpau is decode only.
> There are free and non-free versions, and the non-free versions are not in
> the 3rd party build. There is a vaapi transcode src code example in
> ffmpeg-4.2/doc/examples/vaapi_transcode.c. It probably only works with a
> limited set of codec formats.
> It is a good idea to load, vainfo, vdpauinfo. See "hardware acceleration" in
> the "Performance andTips" chapter 19 of CinelerraGG_Manual.pdf on the
> website.
>
> Various nvidia codecs require non free api library interfaces. The
> implementation may require at least a certain version of nvidia software or
> library baselines before it can work properly. I would have to study the
> exact problem you are trying to solve, and the code support before it can be
> determined if the library can do the problem you wish to solve.
>
> Please feel free to ask specific questions. gg
>
> On Thu, Apr 9, 2020 at 7:14 PM <[email protected]> wrote:
>
>> Hi all. I'm a debian user, but today I compiled ffmpeg (why?) with hardware
>> acceleration (based on https://developer.nvidia.com/ffmpeg )
>>
>> I want to use this ffmpeg version to encode (rendering) in CinGG. It's
>> possible without --with-cuda option in CinGG compilation?
>>
>> I can use "ffmpeg -hwaccel cuvid " in console to transcode, but those are
>> input parameters, not just output options.
>>
>> Thaks all
>>
>> Sergio --
>> Cin mailing list
>> [email protected]
>> https://lists.cinelerra-gg.org/mailman/listinfo/cin
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